Frequently Asked Questions

A curated summary of the top questions asked on our Slack community, often relating to implementation, functionality, and building better products generally.
Statsig FAQs

Can I set experiment group splits with decimal precision beyond one decimal place?

In the context of setting experiment group splits with decimal precision, the system is designed to limit the total number of buckets to 10,000, which allows for one digit of decimal precision.

When dealing with multiple variations, such as 32 in an experiment, it is recommended to assign 3.1% for 31 variants and 3.9% for the control group. This approach is considered acceptable for the experiment, and the slight difference in precision (e.g., 3.1% vs. 3.125%) is deemed negligible, especially in larger sample sizes where the difference might equate to a small number of users.

For experiments requiring more precise splits, alternating between 3.1% and 3.2% for every eighth variant is a suggested strategy. This allocation method is also applicable to more complex experimental designs, such as a 2-level fractional factorial experiment.

The key consideration is the statistical precision, which may be more critical depending on the user base size. It is important to note that the fixed number of buckets behind the scenes necessitates these allocation strategies.

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At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
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We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
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We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
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